Senior AI and ML HPC Cluster Engineer

Job not on LinkedIn

October 19

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

+3 more states

🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 136k - 264.5k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Provide leadership and strategic guidance on the management of large-scale HPC systems including the deployment of compute, networking, and storage. • Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions • Build and maintain AI and ML heterogeneous clusters on-premises and in the cloud • Create and cultivate customer and cross-team relationships to reliably sustain the clusters and meet user evolving needs • Support our researchers to run their workloads including performance analysis and optimizations • Conduct root cause analysis and suggest corrective action • Proactively find and fix issues before they occur

🎯 Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience • Minimum 5+ years of experience designing and operating large scale compute infrastructure • Experience with AI/HPC advanced job schedulers, such as Slurm, K8s, PBS, RTDA or LSF • Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions • Solid understanding of cluster configuration management tools such as Ansible, Puppet, Salt • In-depth understanding of container technologies like Docker, Singularity, Podman, Shifter, Charliecloud • Proficiency in Python programming and bash scripting • Applied experience with AI/HPC workflows that use MPI • Experience analyzing and tuning performance for a variety of AI/HPC workloads. • Passion for continual learning and staying ahead of emerging technologies and effective approaches in the HPC and AI/ML infrastructure fields.

🏖️ Benefits

• equity • benefits